| 书目名称 | Probability Theory | | 副标题 | A Comprehensive Cour | | 编辑 | Achim Klenke | | 视频video | | | 概述 | Comprehensive and modern introduction to the most important fields of probability theory.Unique selection of topics, including many not usually found in introductory texts.Includes supplementary mater | | 丛书名称 | Universitext | | 图书封面 |  | | 描述 | .Aimed primarily at graduate students and researchers, this text is a comprehensive course in modern probability theory and its measure-theoretical foundations. It covers a wide variety of topics, many of which are not usually found in introductory textbooks, such as: limit theorems for sums of random variables; martingales; percolation; Markov chains and electrical networks; construction of stochastic processes; Poisson point processes and infinite divisibility; large deviation principles and statistical physics; Brownian motion; and stochastic integral and stochastic differential equations...The theory is developed rigorously and in a self-contained way, with the chapters on measure theory interlaced with the probabilistic chapters in order to display the power of the abstract concepts in the world of probability theory. In addition, plenty of figures, computer simulations, biographic details of key mathematicians, and a wealth of examples support and enliven the presentation. . | | 出版日期 | Textbook 20081st edition | | 关键词 | Probability theory; Random variable; common limit theorems; measure theory; modern probability theory; pr | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-84800-048-3 | | isbn_ebook | 978-1-84800-048-3Series ISSN 0172-5939 Series E-ISSN 2191-6675 | | issn_series | 0172-5939 | | copyright | Springer-Verlag London 2008 |
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发表于 2025-3-21 16:53:27
